Literature DB >> 16721812

Prediction of recurrence in Ta urothelial cell carcinoma by real-time quantitative PCR analysis: a microarray validation study.

Iman J Schultz1, Kenneth Wester, Huub Straatman, Lambertus A Kiemeney, Marko Babjuk, Jaroslav Mares, Johanner L Willems, Dorine W Swinkels, J Alfred Witjes, Jacques B de Kok, Per-Uno Malmström.   

Abstract

Accurate prediction of tumor recurrence in patients with superficial urothelial cell carcinoma (UCC) might result in a significant reduction of invasive follow-up cystoscopies. A recent study identified a panel of 26 genes from a large cDNA microarray analysis of bladder tumors that discriminated between early- and late-recurring patients with superficial Ta tumors (Dyrskjøt et al., Nat Genet 2003;33:90-6). We aimed to validate this panel of genes in 44 primary Ta UCCs (23 and 21 tumors from patients with short or prolonged recurrence-free periods, respectively), by real-time quantitative PCR. Statistical analysis showed marginal significant different mRNA expression levels between the 2 patient groups. To evaluate a supplementary effect of genes for the identification of patients with short or prolonged recurrence-free intervals, forward logistic regression analysis was applied. This revealed that a combination of the expression profiles of the genes HNRPK, LTB4DH and ANP32B resulted in the best performance, although the combination only marginally increased the predictive value of HNRPK alone. Comparing the receiver-operating-characteristic curves for HNRPK expression among patients with short or prolonged recurrence-free periods, revealed an area under the curve of 0.696 (95% CI, 0.537-0.855). Using the median HNRPK expression level as cut-off, a sensitivity of 69.6% and a specificity of 71.4% were obtained for the identification of patients with short or prolonged recurrence-free periods, respectively. In conclusion, we were not able to confirm the microarray gene expression pattern of the 26 genes shown by Dyrskjøt et al. The discovery of accurate recurrence predictive markers, therefore, remains a challenge. Copyright 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16721812     DOI: 10.1002/ijc.22059

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  6 in total

Review 1.  Molecular markers of prognosis and novel therapeutic strategies for urothelial cell carcinomas.

Authors:  Christopher Y Thomas; Dan Theodorescu
Journal:  World J Urol       Date:  2006-11       Impact factor: 4.226

Review 2.  Molecular substratification of bladder cancer: moving towards individualized patient management.

Authors:  Anirban P Mitra
Journal:  Ther Adv Urol       Date:  2016-03-28

3.  Generation of a concise gene panel for outcome prediction in urinary bladder cancer.

Authors:  Anirban P Mitra; Vincenzo Pagliarulo; Dongyun Yang; Frederic M Waldman; Ram H Datar; Donald G Skinner; Susan Groshen; Richard J Cote
Journal:  J Clin Oncol       Date:  2009-07-20       Impact factor: 44.544

4.  Predicting recurrence and progression of noninvasive papillary bladder cancer at initial presentation based on quantitative gene expression profiles.

Authors:  Marc Birkhahn; Anirban P Mitra; Anthony J Williams; Gitte Lam; Wei Ye; Ram H Datar; Marija Balic; Susan Groshen; Kenneth E Steven; Richard J Cote
Journal:  Eur Urol       Date:  2009-09-09       Impact factor: 20.096

Review 5.  High throughput molecular diagnostics in bladder cancer - on the brink of clinical utility.

Authors:  Karsten Zieger
Journal:  Mol Oncol       Date:  2007-12-08       Impact factor: 6.603

6.  Molecular characterization of lung dysplasia induced by c-Raf-1.

Authors:  Astrid Rohrbeck; Volker Steffen Müller; Jürgen Borlak
Journal:  PLoS One       Date:  2009-05-20       Impact factor: 3.240

  6 in total

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